인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Due to the COVID-19 pandemic, urban railways experienced a significant decline in passengers, which in turn led to a decrease in revenue and operational productivity. However, the pandemic brought some positive effects in the area of maintenance. With reduced passenger demand, the operational load on trains decreased, resulting in fewer failures and less maintenance work. This reduction in failures can enhance the efficiency of maintenance operations. In this paper, the researcher analyzed the changes in maintenance efficiency of Seoul Metro Line 2 using DEA to assess the impact of reduced passengers during the COVID-19 pandemic period on failure reduction and the subsequent increase in maintenance efficiency. The results confirmed that failures decreased during the pandemic period, leading to an improvement in maintenance efficiency. Specifically, the analysis of scale efficiency and scale efficiency state indicated an improvement in scale efficiency, suggesting that inefficiencies related to the scale of input and output were reduced. These findings imply that passenger load influences the occurrence of failures and that reducing failures enhances maintenance efficiency, potentially addressing scale inefficiencies as well. This study presents insights for developing strategies to improve railway maintenance operations during periods of decreased passenger demand, especially in response to external factors such as a pandemic.
본문·목차
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